Cox
Cox may refer to several different topics, including a surname, a variety of apple, or a mathematical model. For the purpose of this article, we will focus on the Cox model in the field of Epidemiology and Statistics.
The Cox model, also known as the Cox proportional hazards model, is a statistical technique used for investigating the effect of several variables upon the time a specified event takes to happen. In the context of an epidemiological problem, the event in question is often death, but the model applies to many other areas as well.
History[edit | edit source]
The Cox model is named after the British statistician Sir David Cox, who first published the method in 1972. His work has since become a cornerstone of modern Survival analysis.
Method[edit | edit source]
The Cox model is a type of Survival analysis that allows researchers to compare the relative risk of death (or other event) between two or more groups, while controlling for several confounding variables. The model is 'proportional', meaning that the ratio of the hazards of the groups being compared is assumed to be constant over time.
Application[edit | edit source]
The Cox model is widely used in medical research, particularly in the study of cancer, Cardiovascular disease, and other diseases with a significant time component. It is also used in other fields such as economics, engineering, and social sciences.
See also[edit | edit source]
References[edit | edit source]
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